PythonHub

hrequests Web scraping for humans. https://github.com/daijro/hrequests

llSourcell / DoctorGPT DoctorGPT is an LLM that can pass the US Medical Licensing Exam. It works offline, it's cross-platform, & your health data stays private. https://github.com/llSourcell/DoctorGPT

CoTracker CoTracker is a model for tracking any point (pixel) on a video. https://co-tracker.github.io/

Build an AI app with FastAPI and Docker A coding session with Sebastián Ramírez and learn how to build a Machine Learning app with FastAPI and Docker. Along the way we will show you some tips like the interactive coding session and Docker init command, and best practices when working with FastAPI. https://www.youtube.com/watch?v=iqrS7Q174Ac

XTuner XTuner is a toolkit for efficiently fine-tuning LLM. https://github.com/InternLM/xtuner

i built an entire web framework from scratch https://www.reddit.com/r/Python/comments/16e5jkg/i_built_an_entire_web_framework_from_scratch/

microsoft / Llama-2-Onnx https://github.com/microsoft/Llama-2-Onnx

Debugging Catastrophic Backtracking for Regular Expressions in Python https://krishnanchandra.com/posts/regex-catastrophic-backtracking/

Learning Pandas? Start Here. A high paced overview of many of the pandas core functionality. As one of the most popular libraries in all of programming, Pandas is an essential tool for learning data wrangling. Watch this video to get a good foundational understanding of what is possible. https://www.youtube.com/watch?v=DkjCaAMBGWM

Python Hub Weekly Digest for 2023-09-10 https://pythonhub.dev/digest/2023-09-10/

firmai / financial-machine-learning A curated list of practical financial machine learning tools and applications. https://github.com/firmai/financial-machine-learning

Toml-bench – Which toml package to use in Python? https://github.com/pwwang/toml-bench

Show HN: Modular Diffusion – A modular Python library for diffusion models https://github.com/cabralpinto/modular-diffusion

Create a Large Language Model from Scratch with Python Learn how to build your own large language model, from scratch. This course goes into the data handling, math, and transformers behind large language models. You will use Python. https://www.youtube.com/watch?v=UU1WVnMk4E8

An Intro to Protocol Buffers with Python Protocol buffers are a data serialization format that is language agnostic. They are analogous to ... https://www.blog.pythonlibrary.org/2023/08/30/an-intro-to-protocol-buffers-with-python/

Self-Taught: How do I know I’d my coding is “good” rather than just functional? https://www.reddit.com/r/learnpython/comments/1684vs4/selftaught_how_do_i_know_id_my_coding_is_good/

Artwork Similarity Search: Exploring the Power of Vector Databases This article will walk you through some of the basic concepts of vector databases, and we will build an end to end artwork similarity search project using Qdrant Vector database and Streamlit. https://www.otmaneboughaba.com/artwork-similarity-search

Marketing Automations Notebooks With GPT A collection of automations and experiments exploring the applications of generative AI in Marketing, SEO, and Public Relations https://github.com/ktynski/Marketing_Automations_Notebooks_With_GPT

Pandas 2.1 https://pandas.pydata.org/docs/whatsnew/v2.1.0.html

The Janus System: Multi-Paradigm Programming in Prolog and Python https://arxiv.org/abs/2308.15893